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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Development with AWS Services	32%	- Use data stores in application development 1. Amazon DynamoDB 2. Amazon ElastiCache 3. Amazon S3 4. Amazon EFS 5. Amazon RDS - Develop code for AWS serverless applications 1. Amazon EventBridge 2. Amazon API Gateway 3. AWS AppSync 4. AWS Step Functions - Develop code for applications hosted on AWS 1. AWS CloudFormation 2. AWS CLI 3. AWS SDKs 4. Amazon DynamoDB 5. Amazon S3 6. Amazon SQS 7. Amazon API Gateway 8. AWS Lambda 9. Amazon SNS 10. Amazon Cognito
Security	26%	- Manage sensitive data in application code 1. AWS Secrets Manager 2. Environment variables 3. AWS Systems Manager Parameter Store 4. Encryption of data at rest and in transit - Implement encryption by using AWS services 1. Amazon S3 encryption 2. AWS CloudHSM 3. AWS Secrets Manager 4. AWS KMS 5. AWS Certificate Manager - Implement authentication and/or authorization for applications and AWS services 1. Resource-based policies, service policies, and principal policies 2. User pools and identity pools in Amazon Cognito 3. Identity federation (SAML, OpenID Connect, Amazon Cognito) 4. Role-based access control (RBAC) 5. Bearer tokens (JWT, OAuth, AWS STS)
Troubleshooting and Optimization	18%	- Instrument code for observability 1. AWS X-Ray 2. Amazon CloudWatch metrics 3. Amazon CloudWatch alarms 4. Structured logging 5. Custom metrics - Optimize applications by using AWS services and features 1. Memory and compute optimization 2. Cost optimization 3. Data storage optimization 4. Caching strategies (ElastiCache, CloudFront) 5. Concurrency and throttling - Assist in a root cause analysis 1. Amazon CloudWatch Logs 2. Error handling and retries 3. Application logging 4. AWS X-Ray 5. AWS CloudTrail
Deployment	24%	- Prepare application artifacts to be deployed to AWS 1. AWS CloudFormation 2. AWS SAM 3. Docker containers 4. AWS CDK 5. Lambda deployment packages - Test applications in development environments 1. Mocking AWS services 2. AWS SAM local 3. Local testing of Lambda functions - Deploy code by using AWS CI/CD services 1. AWS CodeCommit 2. Rolling deployments 3. AWS CodePipeline 4. Canary deployments 5. Blue/green deployments 6. AWS CodeDeploy 7. GitHub integration 8. AWS CodeBuild - Automate deployment testing 1. AWS CodeCommit 2. AWS CodePipeline 3. AWS CodeDeploy 4. AWS CodeBuild

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Amazon AWS Certified Developer - Associate DVA-C02 Prüfungsfragen mit Lösungen (Q345-Q350):

345. Frage
A developer needs to deploy an application in three AWS Regions by using AWS CloudFormation. Each Region will use an AWS Elastic Beanstalk environment with an Application Load Balancer (ALB). The developer wants to use AWS Certificate Manager (ACM) to deploy SSL certificates to each ALB.
Which solution will meet these requirements?

A. Create a global certificate in ACM. Update the CloudFormation template to deploy the global certificate to each ALB.
B. Create a certificate in ACM in the us-east-1 Region. Update the CloudFormation template to deploy the certificate to each ALB.
C. Create a certificate in ACM in each Region. Import the certificate into the ALB for each Region.
D. Create a certificate in ACM in any one of the Regions. Import the certificate into the ALB that is in each Region.

Antwort: C

346. Frage
A company has a website that displays a daily newsletter. When a user visits the website, an AWS Lambda function processes the browser's request and queries the company's on-premises database to obtain the current newsletter. The newsletters are stored in English. The Lambda function uses the Amazon Translate TranslateText API operation to translate the newsletters, and the translation is displayed to the user.
Due to an increase in popularity, the website's response time has slowed. The database is overloaded. The company cannot change the database and needs a solution that improves the response time of the Lambda function.
Which solution meets these requirements?

A. Change the Lambda function to use parallel processing.
B. Cache the translated newsletters in the Lambda/tmp directory.
C. Enable TranslateText API caching.
D. Change to asynchronous Lambda function invocation.

Antwort: B

347. Frage
A developer is designing an AWS Lambda function that creates temporary files that are less than 10 MB during invocation. The temporary files will be accessed and modified multiple times during invocation. The developer has no need to save or retrieve these files in the future.
Where should the temporary files be stored?

A. Amazon S3
B. Amazon Elastic Block Store (Amazon EBS)
C. the /tmp directory
D. Amazon Elastic File System (Amazon EFS)

Antwort: C

Begründung:
AWS Lambda is a service that lets developers run code without provisioning or managing servers. Lambda provides a local file system that can be used to store temporary files during invocation. The local file system is mounted under the /tmp directory and has a limit of 512 MB. The temporary files are accessible only by the Lambda function that created them and are deleted after the function execution ends. The developer can store temporary files that are less than 10 MB in the /tmp directory and access and modify them multiple times during invocation.
Reference:
[What Is AWS Lambda? - AWS Lambda]
[AWS Lambda Execution Environment - AWS Lambda]

348. Frage
A developer is migrating a containerized application from an on-premises environment to an Amazon ECS cluster.
In the on-premises environment, the container uses a Docker file to store the application. Service dependency configurations such as databases, caches, and storage volumes are stored in a docker-compose.yml file.
Both files are located at the top level of the code base that the developer needs to containerize. When the developer deploys the code to Amazon ECS, the instructions from the Docker file are carried out. However, none of the configurations from docker-compose.yml are applied.
The developer needs to resolve the error and ensure the configurations are applied.

A. Add the details from the docker-compose.yml file to an ECS task definition. Associate the task with the ECS cluster.
B. Update the service type of the ECS cluster to REPLICA, and redeploy the stack.
C. Create a namespace in the ECS cluster. Associate the docker-compose.yml file to the namespace.
D. Store the file path for the docker-compose.yml file as a Docker label. Add the label to the ECS cluster's container details.

Antwort: A

Begründung:
Comprehensive Detailed Explanation with all AWS References
* Why Option B is Correct:Amazon ECS does not natively process docker-compose.yml files. Instead, the configurations from docker-compose.yml must be converted into ECS-compatible configurations within a task definition. Task definitions are the primary way to specify container configurations in ECS, including service dependencies like databases, caches, and volumes.
* Steps to Resolve the Error:
* Extract the configurations from the docker-compose.yml file.
* Map the dependencies and settings to the appropriate ECS task definition fields.
* Deploy the task definition to the ECS cluster.
* Why Other Options are Incorrect:
* Option A: Docker labels do not directly impact ECS task execution or integrate with ECS service configurations.
* Option C: ECS namespaces do not exist as a feature.
* Option D: Changing the service type to REPLICA does not resolve the issue of missing service dependency configurations.
* AWS Documentation References:
* Amazon ECS Task Definitions
* Migrating Docker Compose Workloads to ECS

349. Frage
A developer is testing an application that invokes an AWS Lambda function asynchronously.
During the testing phase, the Lambda function fails to process after two retries. How can the developer troubleshoot the failure?

A. Configure AWS Config to process any direct unprocessed events.
B. Configure Dead Letter Queues by sending events to Amazon SQS for investigation.
C. Configure AWS CloudTrail logging to investigate the invocation failures.
D. Configure Amazon Simple Workflow Service to process any direct unprocessed events.

Antwort: B

Begründung:
Dead Letter Queues (DLQ) can be configured for Lambda functions to capture failed asynchronous invocations. Events that cannot be processed will be sent to an SQS queue (or an SNS topic) you specify, allowing for further investigation and reprocessing.

350. Frage
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